“I estimate that at least 70% of the entire AI industry’s revenues are made up of OpenAI and Anthropic’s compute spend, and as both companies are horrendously unprofitable, this means that the AI industry is, for the most part, venture capitalists funnelling money to hyperscalers so that they can funnel that money to NVIDIA or data center capex.”
Our reading:
He estimates that at least 70% of the entire AI industry's revenue is OpenAI and Anthropic's compute spend, and because both are horrendously unprofitable, the AI industry is, for the most part, venture capitalists funnelling money to hyperscalers, who funnel it to NVIDIA or data center capex.
Assessment: Unresolved
What happened
Was it true for the period described?
Outcome: Unresolved
We checked, and the evidence so far doesn’t settle it.
Judged on a plain reading. They named no measure, so we used the reading a typical informed reader would take. It is spelled out under “How we judged it”.
Evidence up to . Checked .
Why
The available filing supplies useful expense data for Anthropic, but it cannot establish the 70% share or the funding chain. The linked reasoning does not independently establish an industry-wide denominator. Neither the nearby first-quarter figures nor the words 'I estimate' justify imposing a particular spending or accounting convention. Those missing definitions and comparable records prevent a fair verdict.
Caveats
- The historical filing covers one lab and a different reporting interval.
- Unknown accounting basis prevents a supported or contradicted financial verdict.
- Failure to establish the estimate is not evidence that it is false.
Evidence (1 item)
Context only: Anthropic, PBC / U.S. Securities and Exchange Commission,
expenses have increased accordingly.
Why it matters: The adjacent table reports $8,945 million of compute and infrastructure expense for the first half of 2026. This supplies one company's historical expense measure, not both labs' comparable spending or total AI-industry revenue.
- Publisher
- Anthropic, PBC / U.S. Securities and Exchange Commission
- Kind of source
- Regulatory filing, unaudited
- Measures
- Anthropic, Compute and infrastructure expense, USD millions, company reported, 2026-01-01 to 2026-06-30
- About events on
- Published
How we judged it
- Kind of claim
- Observation
- Deadline
- None given. We don’t add one.
Conditions
- I estimate (their words)
- for the most part (their words)
Where we had to interpret
- The ordinary reading is that the two labs' compute spending accounts for at least 70% of current AI-sector revenue, with outside investment financing most of this spending chain.
- Assess the current position on July 7 using the latest revenue, spending and funding information then reportable. The nearby first-quarter figures do not restrict the entire assertion to that quarter.
- Do not silently choose between payments, recognised expenses, annual spending projections and contractual commitments. Identify the convention underlying the estimate and compare like periods and measures.
- Calling the calculation an estimate does not identify an accounting basis. The contract therefore records that basis as unknown.
- The funding-flow explanation requires evidence beyond the two companies making losses.
Right if: Comparable figures establish a share of at least 70% for the stated industry, both labs have substantial losses on an identified basis, and funding records establish that investor-financed compute purchases account for most of the described revenue chain.
Wrong if: Comparable figures establish a share below 70%, or financial and funding records materially disprove the asserted loss-dependent funding chain. A result obtained only by selecting an unstated industry boundary or spending convention is insufficient.
We wrote this test after the outcome was known.
What would settle it
An identifiable calculation with a defined industry denominator, matched spending and revenue measures, comparable loss figures, and records tracing the predominant funding sources.
We found 45 claims in this post. See them all.
Full record
Source and dates
Where's Your Ed At, Let AI Burn, paragraph 9.
- Said
- We read the source
- live page, full text, public
- Evidence up to
- Checked
We read this wording on 2026-10-28. The post may have been edited after 2026-07-07.
Where it was said (1)
Said once in the posts we read.
: Where's Your Ed At, Let AI Burn
I estimate that at least 70% of the entire AI industry’s revenues are made up of OpenAI and Anthropic’s compute spend, and as both companies are horrendously unprofitable, this means that the AI industry is, for the most part, venture capitalists funnelling money to hyperscalers so that they can funnel that money to NVIDIA or data center capex.
- Where
- paragraph 9
- Published
- 2026-07-07
- We read it
- , live page
- Access
- full text, public
History
Versions
- Current: Unresolved. Evidence up to 2026-10-28.
What happened to this record
PublishedBy us
Published after both AI reviews and the final check passed.
Held backBy us
A reviewer said our test wasn’t fair to what was actually said.